HiLNO: A Hierarchical Latent Neural Operator with Multi-Scale Supervision for PDEs on General Geometries
HiLNO is a hierarchical latent neural operator that constructs a fine-to-coarse-to-fine latent space and further introduces multi-scale supervision (MSS) and anisotropic Gaussian attention, making HiLNO applicable to general geometries.
Zhi-Cheng Hu, Jia-Cheng Li, Min Yang
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